NGS data analysis training – FIVE weeks program

Price 10000 | USD $300

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About Course

NGS has brought a paradigm shift in the field of medicine and agriculture. It enabled us to look into the whole genome of an organism to identify the impact of variants on disease. It became necessary for a biologist to understand NGS technology in order to have a better understanding of disease pathology, diagnosis and suggesting a therapeutic recommendation. The course aims to provide a glimpse of NGS analysis tools with live examples on open-source data.

Course highlights

Syllabus

  1. Introduction NGS data analysis (What is NGS? Applications – Genomics, Transcriptomics, Metagenomics and Epigenomics. Basic infrastructure requirement for NGS; NGS Data and analysis tools resources on Web – NCBI; NGS analysis steps)
  2. NGS raw data retrieval from SRA and ENA and Quality Control
  3. --Practical: NGS Data retrieval from SRA/ENA
  4. --Practical: Linux commands and R
  5. --Practical: Quality control: FastQC, fastp, MultiQC and Trimmomatic
  6. --Practical: Galaxy sever – NGS QC
  1. Read mapping, coverage analysis and visualization
  2. Variant Calling and annotation
  3. Read alignment and coverage analysis BWA and deeptools
  4. Variant Calling and annotation: Genome Analysis Tool Kit and SNPSIFT
  5. Perform read mapping with reference, coverage analysis, variant calling
  1. Variant from NGS studies and its application
  2. Whole exome – Germline variant calling
  3. Somatic variant calling
  4. Variant impact prediction, filtering and visualization in IGV
  5. Call germline variants from an exome sample of your interest and visualize in IGV.
  1. De novo genome assembly, annotation, draft genome construction.
  2. Multiple sequence alignment and extracting cold spot regions in the consensus genome.
  3. De novo genome assembly, annotation
  4. Consensus genome construction and genome annotation – prokka
  5. In silico vaccine design and drug target identification
  1. RNAseq concept.
  2. Identifying potential drug targets/biomarkers from gene expression data
  3. Bioconductor
  4. Differential gene expression analysis – hisat2, stringtie and limma
  5. Protein-protein interaction analysis
  6. Gene ontology and pathway enrichment

Features available in our live classes

“who knows, does it live”

Certificate of completion

Life time study material access

Doubt solving at any time

Job opportunities

Instructor

Top instructor

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Certificate of completion

What students say about us

ReadMyCourse is a one stop destination for understanding courses related to research and new technology With great qualified instructors and 24X7 doubts support, difficult topics are presented in a simplified manner.

Dr. Rimanpreet Kaur | Bioanalyst
Machine learning course

I had a great learning experience with ReadMyCourse. The concepts were clearly explained by the teachers, especially the way the course was simplified and presented, makes it more fun and easy. I got a job offer as Bioanalyst.

Anup Singh | IISC
NGS course

It is quite understandable for me. I have some background in programming language it is a plus point, apart from it also its quite easy to understand with live classes. Course was more practical and with live coding examples.

Sakina Vakhariya | AstraZeneca
Python for Bioinformatics course

Our values lie in our instructors

Anand Kumar
Python for Bioinformatics, Vaccine designing

Anand is the Co-Founder and CTO of ReadMyCourse. He has 5 years of experience in working with computation biology, Machine Learning, and Vaccine designing. He has co-authored various research papers in reputed journals and has advanced the career of thousands of students.

Dr. Dibyabhaba Pradhan
NGS data analysis, Vaccine designing, Bioanalyst

Dr. Dibyabhaba Pradhan is a Post-doctoral Research Scientist. He is a PhD in Bioinformatics and has more than 12 years of Research and teaching experience in High throughput NGS data analysis, Computer-aided vaccine design, Rational Drug Design and Medical Informatics. He co-authored more than 53 research papers in International and National Journals of repute.

Nirupma Singh
Python, R, Data Analysis, Machine Learning

Nirupma has 5 years of experience with R and Python programming languages for handling and analysing biological data and implement machine learning. She has a post-graduate in Microbiology therefore, She can understand and interpret the biological data quite well and could provide valuable insights. She enjoys interactive teaching with the learners and give her best to it.

Sharon Priya Alexander
Drug designing, Bioinformatics tools

Sharon Priya Alexander has Masters Degree in Bioinformatics bagged late Dr. P. Subramanyam IAS Gold Medal for being a University topper. He has co-authored various research papers in reputed journals. Currently Pursuing PhD in drug designing.

FAQs

If you miss the class you can attent in any other session. You can view recorded sessions also.

Yes you can attend demo session for free. Before the final class will be started you can attend demo live classes.

Yes you are eligible for refund in the period of three classes.

You will get the certificate after completion of all the live sessions and study materials.

NGS data analysis training – FIVE weeks program